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Sr Data and Infrastructure Governance Engineer

Job in Palo Alto, Santa Clara County, California, 94306, USA
Listing for: Digital Prospectors
Contract position
Listed on 2026-02-14
Job specializations:
  • Engineering
    Systems Engineer, Data Engineer, Cybersecurity
  • IT/Tech
    Systems Engineer, Data Analyst, Data Engineer, Cybersecurity
Salary/Wage Range or Industry Benchmark: 80000 - 100000 USD Yearly USD 80000.00 100000.00 YEAR
Job Description & How to Apply Below

Position: Sr Data and Infrastructure Governance Engineer

Length: 12 Month Contract


** Please no agencies. Direct employees currently authorized to work in the United States – no sponsorship available.


** Must work onsite in Palo Alto, CA

Job Description

The Quality organization is seeking a Senior Data and Infrastructure Governance Engineer to provide Quality-led oversight of data lifecycle management and IT infrastructure that supports clinical, research, and enterprise operations. This role is responsible for defining, governing, and independently assuring the quality, integrity, and resilience of data and infrastructure across High Performance Computing (HPC), Bioinformatics, Enterprise IT, and SaaS-dependent environments. The role ensures that infrastructure and data systems are designed, operated, and evolved with clear quality controls, documented risk management, and verifiable evidence.

Essential Duties and Responsibilities
  • Serve as the primary Quality point of contact for data and infrastructure governance activities spanning HPC, Bioinformatics, Enterprise IT, and cloud/SaaS-dependent systems.
  • Define and maintain the end-to-end data lifecycle framework, including data generation, movement, backup, verification, retention, archival, and deletion.
  • Establish and maintain authoritative systems of record for data status, including backup completeness, verification state, retention eligibility, and deletion readiness.
  • Provide independent Quality oversight of data-affecting infrastructure implementations, including servers, storage, networking, power, cooling, and backup platforms.
  • Review and approve data- and infrastructure-impacting changes through formal change management processes, including upgrades, migrations, automation, retention logic changes, and performance tuning.
  • Lead or support risk assessments related to data integrity, availability, and infrastructure resilience, including evaluation of single points of failure, redundancy, and recovery capabilities.
  • Author, review, update, and maintain GxP-relevant documentation such as SOPs, work instructions, standards, quality plans, and risk assessments related to data and infrastructure governance.
  • Define verification and validation strategies for infrastructure and data controls, including backup verification, restore testing, monitoring validation, and challenge testing.
  • Ensure monitoring, metrics, and dashboards are defined to provide meaningful visibility into system health, backlog growth, verification gaps, and early indicators of risk.
  • Support and often lead investigations related to data loss, data integrity issues, infrastructure failures, or system outages, including root cause analysis and corrective and preventive actions (CAPA).
  • Participate in internal and external audits and inspections by providing defensible evidence related to data management and infrastructure controls.
  • Act as a cross-functional governance partner, driving alignment between Quality, IT, HPC, Bioinformatics, Security, and Regulatory teams.
  • Train and mentor internal teams on quality expectations related to data lifecycle management, infrastructure changes, risk management, and escalation pathways.
  • Contribute to long-term planning and continuous improvement initiatives for data governance, infrastructure resilience, and quality system effectiveness.
Qualifications
  • Bachelor’s degree or higher in Engineering, Computer Science, Information Systems, Biomedical Engineering, or a related field, or equivalent experience.
  • Minimum of 5 years of experience in quality engineering, data governance, infrastructure governance, or regulated system oversight.
  • Experience working in regulated environments such as medical devices, in vitro diagnostics (IVD), biotech, or life sciences.
  • Strong understanding of data lifecycle management, including backup, verification, retention, archival, and deletion controls.
  • Working knowledge of IT and infrastructure fundamentals, including servers, storage systems, networking, power, and resiliency concepts.
  • Experience with change control, risk management, and quality oversight for complex technical systems.
  • Working knowledge of applicable quality and…
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